• Data Mining and Machine Learning

Catalog description

Introduces widely-used techniques for extracting information from large data sets such as medical databases, credit reports, weather history, and the stock market. Includes algorithms for nominal and ordinal data and metrics to measure their performance. Students implement common algorithms with real data and choose appropriate algorithms for different applications. Prerequisites: COS 277 with a C- or higher; MAT 248 with a C- or higher or MAT 332 with a C- or higher or Consent of instructor. Offered: Spring, even # years.